Match

Honda vs Osaka: result 3-2 and analysis

Japan Football LeagueRegular Season - 9Kick-off on June 1, 2019 at 04:00 AM (UTC)Honda Miyakoda Soccer Stadium, Hamamatsu

Honda
3-2
Osaka

Full time

What was the result of Honda vs Osaka?

Honda won 3-2 on June 1, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Honda have 10 wins, 3 draws and 2 defeats; Osaka have 10, 3 and 2.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Honda
DateOpponentScoreCompetition
May 25, 2019Fukui United(away)4-2Emperor Cup
May 19, 2019Nara Club(away)1-0Japan Football League
May 4, 2019Ryutsu Keizai Dragons(home)3-0Japan Football League
Apr 27, 2019Reinmeer Aomori(away)1-0Japan Football League
Apr 13, 2019Honda Lock(home)0-2Japan Football League
Osaka
DateOpponentScoreCompetition
May 25, 2019Biwako Shiga(away)2-0Emperor Cup
May 18, 2019Verspah Oita(home)0-1Japan Football League
May 4, 2019Nara Club(home)0-1Japan Football League
Apr 28, 2019Ryutsu Keizai Dragons(away)3-0Japan Football League
Apr 14, 2019Reinmeer Aomori(home)3-0Japan Football League

What does the head-to-head say?

Across the last 6 meetings: 4 Honda wins, 1 draw, 1 Osaka win.

DateScoreCompetition
Aug 26, 2018Honda 1-0 OsakaJapan Football League
May 19, 2018Osaka 2-4 HondaJapan Football League
Oct 29, 2017Honda 0-0 OsakaJapan Football League
Jun 4, 2017Osaka 1-2 HondaJapan Football League
Oct 30, 2016Honda 4-1 OsakaJapan Football League
May 15, 2016Osaka 2-1 HondaJapan Football League

Last archived meeting: Honda vs Osaka on Aug 26, 2018

How many goals should we expect?

Honda score 1.8 and concede 0.9 goals per match over their last 15; Osaka score 1.6 and concede 0.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Honda1.80.968/157/15
Osaka1.60.3103/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
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A question about Honda vs Osaka?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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